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Table 3 Results of logistic regression analysis for the outcome everyday stress

From: Relationship between commuting and health outcomes in a cross-sectional population survey in southern Sweden

     Everyday stress    
Model Commuting mode Commuting time (min) Resp.1 (n) Prev.2 (%) OR 95% C.I. Low 95% C.I. High
Unadjusted Active < 30 4376 17 1.00   
  Car < 30 10755 17 1.04 0.95 1.14
  Car 30-60 2280 18 1.11 0.97 1.26
  Car > 60 449 16 0.98 0.75 1.27
  Public < 30 1332 15 0.90 0.76 1.06
  Public 30-60 1312 20 1.24 1.06 1.45
  Public > 60 584 20 1.25 1.00 1.55
Partly adjusted Active < 30    1.00   
  Car < 30    1.10 1.00 1.22
  Car 30-60    1.25 1.10 1.43
  Car > 60    1.21 0.93 1.58
  Public < 30    0.84 0.71 0.99
  Public 30-60    1.18 1.00 1.38
  Public > 60    1.23 0.98 1.53
Fully adjusted Active < 30    1.00   
  Car < 30    1.11 1.00 1.24
  Car 30-60    1.28 1.10 1.49
  Car > 60    1.11 0.83 1.49
  Public < 30    0.81 0.67 0.98
  Public 30-60    1.19 1.00 1.42
  Public > 60    1.19 0.93 1.53
  1. 1. Respondents; 2. Prevalence; Partly adjusted: Adjusted for the covariates sex, age, education, place of birth and occupational class; Fully adjusted: Adjusted for the covariates sex, age, education, place of birth, occupational class, job strain, overtime, history of unemployment, income, financial stress, residential location and family situation.